Browsing Research Papers by Title

Browsing Research Papers by Title

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  • An Experimental Investigation of Statistical Model based Secure Steganography for JPEG Images 
    Senthooran, V.; Ranathunga, L. (Indian Society for Education and Environment, 01-07-17)
    Objectives: This paper intends to propose a secure steganography approach in JPEG compressed domain by providing more possibilities to analyzing the DCT coefficients in lower frequency area by modifying the primary ...
  • Explainable Hybrid CNN Swin-Transformer Network for Tuberculosis Diagnosis in Chest X-rays of Sri Lankan Patients 
    Tuvensha, J.; Logiraj, K.; Selvendra, S.; Nagulan, R. (Sabaragamuwa University of Srilanka, 2024-02-21)
    Tuberculosis remains a formidable global health challenge, requiring advanced and interpretable methodologies. Conventional diagnostic approaches for tuberculosis often suffer from outdated techniques and unnecessary ...
  • Extraction of Sentiments in Tamil Sentences Using Deep Learning 
    Loganathan, H.; Sakuntharaj, R. (nstitute of Electrical and Electronics Engineers, 2022-09-01)
    Sentiment analysis is the process of extracting information from the given text in which the text consists of various sensations such as happiness, perturbation, pride, worry, and so on about various functions, human beings, ...
  • Findings of shared task on offensive language identification in Tamil and Malayalam 
    Kumaresan, P.K.; Premjith; Sakuntharaj, R.; Thavareesan, S.; Navaneethakrishnan, S.; Madasamy, A.K.; Chakravarthi, B.R.; McCrae, J.P. (ACM, 2021-04-20)
    We present the results of HASOC-Dravidian-CodeMix shared task1 held at FIRE 2021, a track on offensive language identification for Dravidian languages in Code-Mixed Text in this paper. This paper will detail the task, its ...
  • Fraud Detection Mechanism Using Machine Learning 
    Lojenaa, N.; Nawarathna, R.D. (Rajarata University of Sri Lanka, 30-06-20)
    Banks provide their services to make money transactions and other money-based banking activities. The basic concept of the bank is the transaction of money; it can be either manual or digital through multiple channels. ...
  • IIITT at CASE 2021 task 1: Leveraging pretrained language models for multilingual protest detection 
    Kalyan, P.; Reddy, D.; Hande, A.; Priyadharshini, R.; Sakuntharaj, R.; Chakravarthi, B.R. (Association for Computational Linguistics, 2021-08-05)
    In a world abounding in constant protests resulting from events like a global pandemic, climate change, religious or political conflicts, there has always been a need to detect events/protests before getting amplified by ...
  • Impact of Hyper-parameter Optimization in Flower Classification through HOG features using Support Vector Machines 
    Saliny, N.; Rukshani, P. (ICSUSL, 2023-08-12)
    The flower classification is crucial. Pharmaceutics, cosmetics, Ayurvedic medicine, horticulture, botany, obtaining patents, and gardening are some of the areas which benefit greatly from the study of flower classification ...
  • Investigation of the Effectiveness of Goal Programming in Project Management Activities 
    Senthooran, V.; Niroshi, P. (University of Colombo, 2024-01-25)
    The regulation of objectives that are inconsistent with the use of all related resources through the organization is the principal project management (PM) work. In present situations, the project manager is responsible for ...
  • Keypoints and Codewords Selection for Efficient Bag-of-Features Representation 
    Vinoharan, Veerapathirapillai; Ramanan, Amirthalingam (Springer, 05-04-18)
    Bag-of-features (BoF) representation is one of the most popular image representations, that is used in visual object classification, owing to its simplicity and good performance. However, the BoF representation always faces ...
  • Missing word detection and correction based on context of Tamil sentences using n-grams 
    Sakuntharaj, R.; Mahesan, S. (IEEE, 2021-08-11)
    The main function of a spell checker is to detect and correct erroneous words, missing words and grammatical mistakes in text documents. Erroneous words and grammatical mistakes can occur in sentences due to various reasons. ...
  • Movie Success and Rating Prediction Using Data Mining Algorithms 
    Sivakumar, Pirunthavi; Rajeswaren, Vithusia Puvaneswaren; Abishankar, Kamalanathan; Ekanayake, E.M.U.W.J.B.; Mehendran, Yanusha (Faculty of Management and Commerce South Eastern University of Sri Lanka, 29-12-20)
    This project developed the models to predict the success and the ratings of a new movie before its release. Since the success of a movie is highly influenced by the actor, actress, director, music director and production ...
  • Movie Success and Rating Prediction Using Data Mining Algorithms 
    Pirunthavi, S.; Vithusia, R.P.; Abishankar, K.; Ekanayake, E.M.U.W.J.B.; Yanusha, M. (Uva Wellassa University of Sri Lanka, 30-07-20)
    This project developed the models to predict the success and the ratings of a new movie before its release. Since the success of a movie is highly influenced by the actor, actress, director, music director, and production ...
  • Naive Bayes Algorithm for Large Scale Text Classfication 
    Sivakumar, Pirunthavi; Ekanayake, Jayalath (Popular Science Press, 31-12-21)
    This paper proposed an improved Naïve Bayes Classifier for sentimental analysis from a large-scale dataset such as in YouTube. YouTube contains large unstructured and unorganized comments and reactions, which carry important ...
  • A novel hybrid approach to detect and correct spelling in Tamil text 
    Sakuntharaj, R.; Mahesan, S. (IEEE, 2016-12-16)
    A spell checker is a tool to check the spelling of words in a document, validate them and in case of finding error in spelling, list out the possible words as suggestions. There are several researches available on spell ...
  • One-pass Keypoint Selection to Construct Codebook for Patch-based Object Classification 
    Vinoharan, Veerapathirapillai; Ramanan, Amirthalingam (IEEE, 21-12-18)
    In a patch-based object classification system, one of the most popular image representation approach is the bag-of-features (BoF) representation. However, the number of patch-based features extracted from images to create ...
  • An Ontology based Data Mining approach for predicting the research ideas using past research in the wildlife sector of Sri Lanka 
    Premisha, P.; Kumara, B.T.G.S.; Kudavidanage, Enoka; Banujan, K. (General Sir John Kotelawala Defence University, 16-10-20)
    Sri Lanka being a global biodiversity hotspot, places great value for biodiversity owing to ecological, socio-economic, and cultural factors. However, the wildlife of Sri Lanka is critically threatened due to several ...
  • Ontology Based Machine Learning Approach to Automatic Labelling for Research Papers on Wildlife of Sri Lanka 
    Premisha, P.; Kumara, B.T.G.S.; Kudavidanage, Enoka; Banujan, K. (University of Kelaniya, 28-11-20)
    Sri Lanka, being a global biodiversity hotspot, places great emphasis on biodiversity from an ecological perspective, socio-economic, and cultural factors. However, the wildlife of Sri Lanka is critically threatened due ...
  • Overview of Second Shared Task on Sentiment Analysis in Code-mixed Tamil and Tulu 
    Sambath Kumar, L.; Hegde, A.; Chakravarthi, B.R.; Shashirekha, H.; Natarajan, R.; Thavareesan, S.; Sakuntharaj, R.; Durairaj, T.; Kumaresan, P.K.; Rajkumar, C. (Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages, 2024-03-22)
    Sentiment Analysis (SA) in Dravidian codemixed text is a hot research area right now. In this regard, the “Second Shared Task on SA in Code-mixed Tamil and Tulu” at Dravidian- LangTech (EACL-2024) is organized. Two tasks ...
  • Overview of the HASOC-DravidianCodeMix Shared Task on Offensive Language Detection in Tamil and Malayalam. 
    Chakravarthi, B.R.; Kumaresan, P.K.; Sakuntharaj, R.; Madasamy, A.K.; Thavareesan, S.; Premjith, B.; Sreelakshmi, K.; Navaneethakrishnan, S.C.; McCrae, J.P.; Mandl, T. (CEUR Workshop Proceedings, 2021-12-17)
    Wepresent the results of HASOC-Dravidian-CodeMix shared task1 held at FIRE 2021, a track on offensive language identification for Dravidian languages in Code-Mixed Text in this paper. This paper will detail the task, its ...
  • Overview of the Shared Task on Sentiment Analysis in Tamil and Tulu 
    Durairaj, T.; Chakravarthi, B.R.; Hegde, A.; Shashirekha, H.L.; Natarajan, R.; Thavareesan, S.; Sakuntharaj, R.; Krishnakumari, K.; Rajkumar, C.; Shetty, P.; Kumar, H.S. (Association for Computational Linguistics, 2025-05-03)
    Sentiment analysis is an essential task for interpreting subjective opinions and emotions in textual data, with significant implications across commercial and societal applications. This paper provides an overview of the ...

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